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https://issues.apache.org/jira/browse/BEAM-4430?focusedWorklogId=110149&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-110149
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ASF GitHub Bot logged work on BEAM-4430:
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Author: ASF GitHub Bot
Created on: 08/Jun/18 16:01
Start Date: 08/Jun/18 16:01
Worklog Time Spent: 10m
Work Description: lgajowy opened a new pull request #465: [BEAM-4430]
Improve Performance Testing Documentation
URL: https://github.com/apache/beam-site/pull/465
The previous version of this docs was not up to date with current state of
the project. I improved it a bit by adding new sections to explain more how the
Performance Testing Framework works. I provided some more examples too (HDFS)
to show different configurations that are feasible now.
It can be cumbersome to update the docs with new ghprb plugin phrases (line
332), because it may change very rapidly. On the other hand, I think it's
better to have something (even if it will get slightly outdated in time) than
have no documentation for this at all. This is a useful feature, not many
people know about. WDYT of this?
@chamikaramj could you take a look?
@szewi could you also take a look especially at the HDFS examples?
CC: @melap
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Issue Time Tracking
-------------------
Worklog Id: (was: 110149)
Time Spent: 10m
Remaining Estimate: 0h
> Improve Performance Testing Documentation
> -----------------------------------------
>
> Key: BEAM-4430
> URL: https://issues.apache.org/jira/browse/BEAM-4430
> Project: Beam
> Issue Type: Wish
> Components: testing
> Reporter: Łukasz Gajowy
> Assignee: Łukasz Gajowy
> Priority: Critical
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Currently, the only documentation regarding IO Performance Testing can be
> found here:
> [https://beam.apache.org/documentation/io/testing/#i-o-transform-integration-tests].
> This is certainly not enough given that the performance testing framework
> currently allows to run tests:
> - on local or hdfs filesystems
> - on direct or dataflow runners
> - manually using integrationTest task
> - automatically using performanceTest task
> - using pkb.py tool directly (PerfKitBenchmarker)
> - on demand from pending Pull Requests
> - detecting anomalies
> - gathering results in dashboards
> All the above bullets (and maybe others - to be investigated) need more
> explanation in the docs to make the Performance Testing Framework usable by
> the broader community.
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